AWS architect#26-42199

$16.90-$64.29 per hour

Lake Forest, CA

Onsite

Job Description

Our Client, an IT Services and Consultant company, is looking for an AWS architect for their Lake Forest, CA location.

Responsibilities:

Collaborative Leadership:

Partner directly with COI and execution teams to identify challenges and opportunities for maturing our cloud capabilities. This is a role of influence, not authority.

Research & Prototyping:

Lead research into emerging technologies and architectural patterns. An example is Prototype and validate solutions that enhance our use of Kubernetes and AKS on Azure, focusing on:

Workload Balancing & Efficiency:

Develop advanced strategies for intelligent workload scheduling, auto-scaling, and resource optimization.

Cost Management:

Architect and prove out cost-control models that allow the platform to scale efficiently without compromising performance.

Reliability & High Availability:

Design and validate architectural patterns that ensure system resilience, fault tolerance, and seamless disaster recovery.

System-Level Validation:

Work with system test teams to design and implement experiments that validate the interaction between major system components under stress. Your focus will be on creating scenarios that simulate real-world customer use cases to uncover systemic issues before they reach production.

Knowledge Transfer and Enablement:

Act as a catalyst for skill growth by demonstrating the "art of the possible." Through proofs-of-concept and close collaboration, you will provide the technical credibility and motivation necessary for teams to learn, grow, and adopt new operational paradigms.

Requirements:

Expert-Level Kubernetes:

Deep, hands-on knowledge of Kubernetes architecture, including the control plane, scheduling, service mesh, network policies, and resource management.

Azure -

AKS Expertise:

AWS - EKS

Expertise:

Proven expertise in designing and managing complex, scalable solutions on Azure Kubernetes Service (AKS) and AWS EKS. Strong command of the broader Azure and AWS ecosystems.

Infrastructure as Code (IaC): Proficiency with tools like Terraform or Bicep for automating the provisioning and management of complex cloud topologies.

CI/CD and GitOps:

Strong background in building and optimizing CI/CD pipelines and implementing GitOps principles for automated and reliable application delivery.

Observability:

In-depth knowledge of modern observability stacks, including logging, metrics, and tracing (e.g., Prometheus, Grafana, Azure Monitor, Open telemetry).

Distributed Systems Architecture:

A fundamental understanding of the principles and trade-offs involved in designing and operating large-scale distributed systems.

Years of Experience:

10.00 Years of Experience